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Table 1.

Summary of model parameters for the g-band light-curve fit of SDSS J2320+0024.

Description Name Prior range DRW Modified DRW QPO Periodic

50th, 16th, 84th Percentiles
Scale length log10τ [ − 3, 1.7] 1 . 3 0.2 + 0.3 $ -1.3^{+0.3}_{-0.2} $ 1 . 6 0.2 + 0.3 $ -1.6^{+0.3}_{-0.2} $ 1 . 3 0.3 + 0.4 $ -1.3^{+0.4}_{-0.3} $
Dispersion log10σ [ − 3, 1.7] 0 . 8 0.1 + 0.1 $ 0.8^{+0.1}_{-0.1} $ 0 . 9 0.1 + 0.1 $ 0.9^{+0.1}_{-0.1} $ 0 . 8 0.1 + 0.1 $ 0.8^{+0.1}_{-0.1} $ 0 . 1 0.2 + 0.3 $ 0.1^{+0.3}_{-0.2} $
Slope γ [0.5, 5] 1 . 4 0.4 + 0.4 $ 1.4^{+0.4}_{-0.4} $
Period log10T [ − 2, 2] 0 . 2 1.3 + 1.3 $ 0.2^{+1.3}_{-1.3} $ 0 . 406 0.002 + 0.002 $ -0.406^{+0.002}_{-0.002} $

Maximum Likelihood

Scale length log10τ [ − 3, 1.7] −1.35 −1.65 −0.74
Dispersion log10σ [ − 3, 1.7] 0.79 0.94 0.51 0.02
Slope γ [0.5, 5] 1.51
Period log10T [ − 2, 2] −0.99 −0.41
log evidence log Z –139.15 –139.0 –138.90 –238.60

Notes. From left to right, the columns provide a brief description of each parameter, its reference name as used in this work, the assumed prior range, and the best-fit values with their credibility intervals for all the models. The first table block reports parameters estimated as the median, 16th, and 84th percentiles of the posterior distribution, while the second table block reports the parameter set that maximises the likelihood. All priors are log-uniform and all the parameters are in dimensionless units since the data were standardised before fitting. The last row reports the Bayesian log evidence of each model, clearly disfavouring the Periodic model.

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